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CSSLabNKU/README.md

👋 Hi, Welcome to the Crypto and System Security (CryptoSys or CSS) Lab at Nankai Univeristy, directed by Prof. Ding Wang. Our research interests include:

(1) Machine learning-based techniques for authentication.

(2) Protocols, including Password-based, Blockchain-based, Lattice-based ones;

(3) Multi-factor authentication, including passwords. devices, biometrics and others;

We have open-sourced several projects related to our published research, aiming to contribute to both academia and industry.

Feel free to explore! 👀

1. TarGuess-I password guessing algorithm source code for our 2016 ACM CCS paper "Targeted Online Password Guessing: An Underestimated Threat".

[PDF]    [Video]    [Code]

2. Honeywords-related source code for our 2018 NDSS paper "A Security Analysis of Honeywords".

[PDF]    [Video]    [Code]

3. PSM-related source code for our 2016 IEEE/IFIP DSN paper "fuzzyPSM: A New Password Strength Meter Using Fuzzy Probabilistic Context-Free Grammars".

[PDF]    [Video is Not Available]    [Code]

4. RFGuess password guessing algorithm source code for our 2023 Usenix Security Paper "Password Guessing Using Random Forest".

[PDF]    [Video]    [Code]

Pinned

  1. Random-Forest-Password-Guessing Random-Forest-Password-Guessing Public

    Code for our 2023 Usenix Security Paper "Password Guessing Using Random Forest"

    Python 7

  2. Honeywords Honeywords Public

    Code for our 2018 NDSS paper "A Security Analysis of Honeywords"

    C++ 5

  3. TarGuess-I TarGuess-I Public

    Code for our 2016 ACM CCS Paper "Targeted Online Password Guessing: An Underestimated Threat"

    C++ 6

  4. fuzzyPSM fuzzyPSM Public

    Code for our 2016 IEEE/IFIP DSN paper "fuzzyPSM: A New Password Strength Meter Using Fuzzy Probabilistic Context-Free Grammars"

    C++ 5